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MS in Data Science at University of Delaware
23 Jan 2019 |
Posted by Alycia Crall
Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
04 Jan 2019 | Teaching Materials | Contributor(s):
By Mark Phillip Peterson1, Jacob T Malloy2, Vincent P Buonaccorsi2, James H Marden3
1. Viterbo University 2. Juniata College 3. Pennsylvania State University
This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...
Kate S Boersma
05 Nov 2018 | Teaching Materials
DataCamp: The Easiest Way to Learn Data Science Online
50 Years of Data Science
30 Oct 2018 | Teaching Materials | Contributor(s):
By David Donoho
This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...
Java Applets for Power and Sample Size
By Russ Lenth
Statistics and Actuarial Science Department, University of Iowa
This is a Java application that allows you to do power and sample-size calculations for a number of standard statistical models.
Statistics for Biologists
By Magdalena Skipper1, Ritu Dhand1, Helen Pearson1, Francesca Cesari1
There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.
29 Oct 2018 | Teaching Materials | Contributor(s):
By Divid Diez1, Chris Barr1, Mine Çetinkaya-Rundel2
1. OpenIntro 2. Duke University
OpenIntro was started with one goal in mind: create a free and open-source introductory textbook.
A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2
20 Oct 2018 | Teaching Materials | Contributor(s):
By Bodo Winter
University of California, Merced
The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.
Linear Models and Linear Mixed Effects in R: Tutorial 1
The first of two tutorials that introduce you to linear and linear mixed models.
By Daniel Kaplan1, Karl-Dieter Crisman2, Nicholas Horton3, Eric Marland4, Randall Pruim5
1. Macalester College 2. Gordon College 3. Amherst College 4. Appalachian State University 5. Calvin College
Our goal: Provide a broader approach to quantitative studies that provides better support for work in science and technology.
Anna M Tucker
11 Sep 2018 | Teaching Materials | Contributor(s):
By Nicholas G. Reich1, Andrea S. Foulkes1, Harrel Blatt1, Eric A. Cohen1, Gregory Matthews1
University of Massachusetts
statsTeachR is an open-access, online repository of modular lesson plans, a.k.a. "modules", for teaching statistics using R at the undergraduate and graduate level.
Numbers Count! | Statistics Course
23 Aug 2018 | Teaching Materials | Contributor(s):
By Claudia Neuhauser
University of Minnesota
This course in the Numbers Count! curriculum introduces the basics of statistical analysis, including basic definitions, data visualization, and application.
SUMS4Bio - Video tutorials in math and stats for biology students
22 Aug 2018 | Teaching Materials | Contributor(s):
By Jeremy M Wojdak1, Caleb Adams1, Dan Metz1
Links to videos and pdf tutorials for core mathematical and statistical concepts used in biology
James S. Santangelo